Dynamic Sensitivity for Missed Bolus Detection
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Solution Overview
Problem
People with diabetes face challenges in remembering to take insulin boluses after meals, leading to potential hyperglycemic episodes due to missed doses.
Innovation Solution
A method using a computing device to analyze glucose measurements and insulin dosing information, detecting missed boluses by generating notifications and dynamically adjusting sensitivity levels based on contextual information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a fixed sensitivity level is used for detecting missed boluses, then the detection algorithm is simple to implement, but it cannot adapt to different user preferences and contexts leading to suboptimal detection accuracy
Solution Approach 1:
The patent implements dynamic sensitivity levels that can be adjusted based on user feedback and contextual information. The system transitions from a static detection algorithm to a dynamic one that adapts its sensitivity threshold, allowing it to optimize detection accuracy for different users and situations without requiring complete algorithmic redesign
Solution Approach 2:
The patent changes the sensitivity parameter of the detection algorithm based on user preferences and contextual factors. By adjusting this key parameter dynamically, the system achieves adaptive detection accuracy while maintaining the core detection logic, thus balancing precision improvement with acceptable complexity increase
2Measurement precision
If high sensitivity detection is used, then missed boluses are detected more accurately, but false alarms increase causing user annoyance and potential alarm fatigue
Solution Approach 1:
The patent applies different sensitivity levels locally based on user preferences and contextual situations. Instead of using a uniformly high sensitivity level that causes widespread false alarms, the system tailors the detection threshold to each user's tolerance and specific context, reducing false alarms in situations where they are less acceptable while maintaining high detection accuracy where needed
Solution Approach 2:
The system uses user feedback from alarm responses to adjust future detection behavior. When users indicate false alarms or correct detections, the system learns from this feedback and adjusts its sensitivity, creating a closed-loop system that reduces false alarms over time while maintaining accurate detection
3Reliability
If the system provides frequent alerts for potential missed boluses, then user safety is improved, but user burden and psychological stress increase
Solution Approach 1:
The patent adjusts the alert frequency and sensitivity parameters based on user preferences and contextual information. By dynamically changing these parameters, the system optimizes the balance between providing sufficient safety alerts and minimizing psychological burden, allowing users to receive appropriate levels of notification without excessive stress
Data Source
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AI summary
Methods, systems and devices are provided for dynamically adjusting sensitivity of a computer-implemented detector for detecting missed insulin boluses. The disclosed methods, systems, and devices receive glucose measurements and insulin dosing information for a user, and analyze the received information to detect whether the user may have ingested food without taking an insulin bolus. The sensitivity level of the detector may be dynamically adjusted based on contextual information regarding the user to adjust for the users context, circumstances, and/or condition. If the detector detects a possible missed bolus, the detector may generate a user notification.